Use of a genetic algorithm in the search for a near-optimal shielding design

被引：16

作者：

Kim, Byeong Soo ^{[2
]}

Moon, Joo Hyun ^{[1
]}

机构：

[1] Dongguk Univ, Gyeongbuk 780714, South Korea

[2] Korea Inst Nucl Safety, Taejon 305338, South Korea

来源：

ANNALS OF NUCLEAR ENERGY | 2010年 / 37卷 / 02期

关键词：

D O I：

10.1016/j.anucene.2009.11.014

中图分类号：

TL [原子能技术]; O571 [原子核物理学];

学科分类号：

0827 ; 082701 ;

摘要：

An optimization method based on genetic algorithm (GA), which is referred as MACroscopic Near-Optimal Shielding design (MACNOS), is proposed for the search for an optimal radiation shield configuration subject to a given set of constraints. In MACNOS, a GA is used to search for the optimal shielding design and the penalty strategy is employed to deal with the constraints. In order to confirm its capability to search for the optimal shielding design, MACNOS is applied for solving a simple problem with regard to radiation shielding optimization of a hypothetical spaceship reactor. The application shows that, keeping the constraints satisfied, MACNOS is able to seek for the shielding design that minimizes the total weight by changing the thickness and the material of the shield. Therefore, it is expected that MACNOS is potentially useful in the search for the optimal design configuration in the conceptual design phase, where the selection of the shielding material and the estimate of the thickness are necessary. (C) 2009 Elsevier Ltd. All rights reserved.

引用

页码：120 / 129

页数：10